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Hadoop-PR000007 Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer)

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Test Code : Hadoop-PR000007
Test Name : Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer)
Vendor Name : Hortonworks
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Hortonworks Hortonworks Certified Apache Hadoop

Hortonworks adds new Hadoop certifications for partners | Real Questions and Pass4sure dumps

binary-code-507786_640driving on the early success of its IPO, open-source Hadoop heavyweight Hortonworks Inc. has introduced it’s extending its partner developer certification application, including certifications in operations, protection and governance for companions that increase application around its platform.

Palo Alto-based Hortonworks says the aim is to speed up Hadoop’s transforming into adoption in tne business with the aid of including help for basic capabilities of any business records platform. consequently, its simply launched new HDP Governance in a position, HDP Operations competent and HDP safety ready certifications.

The governance certification is designed to make sure facts is fed into the platform as described by means of the Apache Falcon statistics workflow engine, whereas the operations certificates is focused on integrating its platform with Apache Amari for provisioning and monitoring of Hadoop clusters. As for the protection certification, here's designed to work with the Apache Knox gateway and Apache Ranger to give centralized administration and security integration.

John Kreisa, strategic marketing vice president of Hortonworks, informed the brand new certifications were added in keeping with requests from its building partners. “We’re seeing greater companions stepping into the software because of the certifications they could get and express the stage of integration they have got,” he stated.

The movement highlights how Hortonworks’ relationships with its companions and impartial software providers are valuable to its general approach, of which the Hortonworks licensed expertise software is a key half. utility providers can combine the Hortonworks statistics Platform (HDP) with their personal applications using the program.

“The certifications are in fact consultant of the higher, endured funding in partners and ISVs,” defined Kreisa. “here is the deepest certification program in the marketplace. nobody else offers this functionality to ISVs. it's whatever thing we're rather pleased with and that we work on to distinguish ourselves available in the market.”

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Trifacta teams With Hortonworks to deliver data Transformation to commercial enterprise Apache Hadoop purchasers | Real Questions and Pass4sure dumps

SAN JOSE, CA--(Marketwired - Jun three, 2014) - At Hadoop Summit 2014 (sales space #P3), Trifacta, a knowledge Transformation platform issuer, these days introduced it has joined the Hortonworks licensed expertise program and has certified the Trifacta information Transformation Platform with the newest Hortonworks records Platform, 2.1. with the aid of integrating with the Hortonworks records Platform (HDP), the industry's main 100-percent open supply Apache™ Hadoop® distribution, Trifacta is empowering company users, facts scientists and IT programmers to accelerate the transformation of raw facts into facts competent for evaluation across the commercial enterprise for better enterprise outcomes. 

Trifacta and Hortonworks share a commitment to speed up open source business Hadoop adoption, improving facts analysis and altering the way people work with information. currently, remodeling information right into a usable form takes up the majority of the records evaluation method. This primarily guide transformation procedure is a bottleneck that stalls tasks and inhibits the statistics stack's skill to scale to the wants of the company. Trifacta clears the bottleneck and allows users to straight away and simply transform raw statistics into an actionable form, whether for immediate insights or for use in analysis tools.

"With the momentum in the back of massive statistics and the use of a hundred-p.c open source Hadoop becoming, groups are turning to options with the intention to boost the agility of big information evaluation," noted John Kreisa, vice president of Strategic advertising and marketing, Hortonworks. "Certifying Trifacta's Predictive interplay™ expertise with the Hortonworks information Platform helps users radically change new facts, discover greater use circumstances, and abruptly expand their enterprise Hadoop deployments."

Combining the reliability and steadiness of the Hortonworks information Platform with Trifacta's interesting Predictive interplay™ technology enables clients to create concise data transformation scripts that assemble natively in Hadoop and are designed to scale. As a part of modern day announcement, Hortonworks has licensed the Trifacta platform with the Hortonworks facts Platform, guaranteeing the continuing compatibility of Trifacta's data Transformation Platform to Hortonworks' commercial enterprise Apache Hadoop users.

"With the Hortonworks open business records platform, clients are inspired to work creatively with records in methods that are transformative to corporations. without the constraints of rigid schema, records can give cost past the accountancy pipeline and influence core company methods, like enhancing consumer experience, deciding on operational inefficiencies, and assessing the likelihood of fraudulent conduct," said Sean Kandel, CTO and co-founder of Trifacta. "Hortonworks is aware the price that comes from combining our platform with the Hortonworks facts Platform and enabling people who work with information to be greater productive and agile."

further substances

consult with Trifacta at Hadoop Summit 2014, sales space #P3, San Jose conference middle, 150 West Carlos highway, San Jose, CA.

Trifacta Raises $25 million to drive Transformation for facts-pushed agencies

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About Trifacta Trifacta, the pioneer in data transformation, drastically enhances the price of an commercial enterprise's large records via enabling users to comfortably seriously change uncooked, complicated records into clean and structured formats for analysis. Leveraging a long time of resourceful work in human-laptop interplay, scalable data administration and computing device studying, Trifacta's enjoyable know-how creates a partnership between person and computing device, with both sides getting to know from the different and becoming smarter with journey. Trifacta is backed by Accel partners, Greylock companions, and Ignition partners.

Hortonworks Certifies Objectivity to allow precise-Time Relationship Analytics on Hadoop | Real Questions and Pass4sure dumps

Objectivity's ThingSpan™ publicizes Certification on Hortonworks facts Platform to Leverage Apache Hadoop for Relationship Discovery

SAN JOSE, CA--(Marketwired - March 15, 2016) -  Objectivity, Inc. these days introduced that it has joined the Hortonworks certified technology application and has certified its ThingSpan™ solution with the Hortonworks statistics Platform. by means of integrating with the Hortonworks records Platform, the business's leading one hundred-% open supply big data platform constructed on Apache™ Hadoop®, Objectivity is enabling groups to accelerate the time-to-insight of their massive statistics and speedy records purposes.

"Objectivity and Hortonworks have teamed up to wholly recognize a vastly scalable dispensed graph and relationship analytics platform on Apache Hadoop. Objectivity's ThingSpan and Hortonworks statistics Platform are seamlessly integrated to enable precise-time graph analytics, pattern and anomaly detection, and relationship discovery for huge and speedy information applications," pointed out Brian Clark, VP of products at Objectivity. "Our partnership with Hortonworks no longer most effective gives resiliency and provenance to ThingSpan, it also empowers Hadoop clients to rapidly navigate and query extremely complex facts at petabyte scale."

With Objectivity's ThingSpan and Hortonworks records Platform, organizations now have aim-constructed, proven technology natively built-in with the open source Hadoop ecosystem that continues to be performant throughout blended workloads of excessive-speed ingest and querying. via ingesting streaming quick statistics the usage of Spark and different Apache equipment, comparable to Kafka, and storing archival big facts in Hadoop, ThingSpan bridges the gap between records at relaxation and statistics in motion, enriching these two fused workflows in true time to power mission-important applications involving the most complex datasets.

About Objectivity

Objectivity, Inc. offers massively scalable and highly performant allotted database platforms that are confirmed to power mission-essential functions for the most stressful and sophisticated datasets in the commercial enterprise. Objectivity helps businesses to all of a sudden construct new Spark Streaming-enabled solutions for discovering connections and patterns through graph analytics within petabytes of facts, saved in HDFS, to obtain precise-time relationship discovery.

With a wealthy heritage serving global one thousand consumer and partners, Objectivity holds deep domain abilities in fusing essential tips from big records volumes to capture new earnings opportunities, pressure aggressive merits and bring stronger enterprise cost. Objectivity is privately held with headquarters in San Jose, California. talk over with to learn more.

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Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer)

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Crushing Certification Exams | real questions and Pass4sure dumps

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

The HDP Certified Developer (HDPCD) exam is tough, you need to know Pig, Hive, Sqoop, and Flume.

The first step in preparing is to walk through all of the steps outlined in the exam guide. Basically read the Apache documentation for each project, follow the tutorials at the Hortonworks site and do the hands-on from GitHub. You must be able to do the hands-on work!!!!  The test is hands-on and not multiple choice. You need to know the commands and get them running. I suggest setting up the Amazon cloud using the exam directions AND downloading a Sandbox so that you can try out all the Pig, Flume, Hive, and Sqoop commands and queries. You need to run some from Ambari and some from the command line. You must be comfortable and know the syntax for both. The exam is strictly timed, and you do not have access to Google.

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Now for the important tips:

  • Search the Hortonworks Community, you will find answers, tutorials, and helpful hints on all the above mentioned Hadoop tools. Also you can post questions there and they will quickly be answered by experienced Hadoop people and possible actual project committers.

  • Read the presentations from Hadoop Summit and Hortonworks. It's a good way to get background and see some reasons behind the tools. Another Hadoop Summit is coming this month, so there will be more material soon.

  • Watch Training Videos on Youtube. Hortonworks and others have a ton of other people have put hundreds of hours of training out there.

  • If you are a Hortonworks customer, you may have access to the Self-Paced Learning Library which consists of online classes with videos, presentations, and click-through learning.

  • Come to a meetup, there are tons of Hadoop meetups around that provide hands-on and live presentations on various Hadoop tools. You can also ask questions to certified developers, experts, and other people learning.

  • Read DZone articles on Pig (Intro), Flume, Hive, and Sqoop.

  • Look at this excellent set of Hadoop Tutorials are

  • Read the documentation at the Apache sites: Pig, Flume, Sqoop, and Hive.

  • Then more hands-on, grab some data like Twitter feeds, logs, stock data, and stuff from Kaggle and parse it with Pig, query it with Hive and load it with Flume and Sqoop.

    Some Additional Resources:


    hortonworks ,hadoop ,certification ,big data ,sqoop ,flume ,pig ,hive

    Elasticsearch releases new Hadoop connector | real questions and Pass4sure dumps

    Data search

    Search analytics specialist Elasticsearch has announced the 2.0 release of its Hadoop connector, bringing advanced search techniques to the popular big data platform.

    It's also now certified for Cloudera Enterprise 5. This means Elasticsearch is now compatible across all Apache-based Hadoop distributions, helping businesses extract immediate insights regardless of where their data is stored.

    Using Elasticsearch in conjunction with Hadoop, organizations no longer need to run a batch process and wait for hours to analyze their data. Elasticsearch for Apache Hadoop can make data available for indexing as it's being generated, making it available for search and analysis in a matter of seconds.

    Steven Schuurman, co-founder and CEO of Elasticsearch says, "Hadoop was created to store and archive data at a massive scale, but businesses need to be able to ask, iterate, and extract actionable insights from this data -- which is what we designed our products for. With today's certification from Cloudera, Elasticsearch now works with all Apache-based Hadoop distributions, and with it, solves the last mile of big data Hadoop deployments by getting big insights, fast".

    Key features of the new release include the ability to read and write data between Hadoop and Elasticsearch which lets businesses get immediate, actionable insights using real-time search and analysis. There's native integration and support for popular Hadoop libraries so users can run queries natively on Hadoop through MapReduce, Hive, Pig, or Cascading APIs. A Snapshot/Restore feature also makes it easy to take a snapshot of data within Elasticsearch -- perhaps a year's worth -- and archive it in Hadoop. At any time, this snapshot can be restored back to Elasticsearch to carry out extra analysis.

    You can register for a webinar set to take place on August 20 which will discuss the features and benefits, or go to the Elasticsearch website to find out more.

    Image Credit: alphaspirit / Shutterstock

    Hortonworks announces Version 1 of its flagship Data Platform | real questions and Pass4sure dumps

    The team at the heart of Apache Hadoop development has finally released their first dedicated stack, as Hortonworks announced the availability of Hortonworks Data Platform 1.0 at Hadoop Summit 2012 yesterday.

    Since the release of Apache Hadoop 1.0, a number of contenders have entered the fray with Hadoop-based distros, but until now, the team central to Apache Hadoop development from the start had held off. Whilst Hadoop’s open source core is driven out of the Apache Software Foundation, support comes from companies like Cloudera and MapR (often partnering up with larger vendors to provide propertiary extensions) but Hortonworks were keen to wait until now to show their hand. And with good reason.

    The company, formed a year ago as a spinout of the Yahoo! Hadoop team, have been instrumental in the first major release, as they were entrusted with creating one key aspect of Hadoop, in data-cruncher MapReduce. They’ve also laid the foundations down for Hadoop 2.0, which recently saw an alpha release. Hortonworks are offering something slightly different in Data Platform, with it being the only option thus far that is 100% based on open source Apache Hadoop.

    Speaking to The Register, John Kreisa, vice president of marketing at Hortonworks, explained why they were going for a pure Hadoop stack:

    There are no proprietary bits in the Hortonworks Data Platform, no lock in, and we (sic) doing this because we believe that it will greatly facilitate Hadoop adoption.

    Given their instrumental part in getting Hadoop this far along the line, it’s a shrewd move. Many of those already channelling Hadoop as part of their production will want no ties to other vendors, and get that level of quality assurance from the company most involved with Apache Hadoop development itself.

    The platform itself claims to be a ‘an enterprise-class solution architecture for high availability’. Teaming up with VMware, who’ve provided the infrastructure in vSphere, Hortonworks Data Platform strikes up partnerships with other spinoff Hadoop projects such as the scripting project Pig, querying hub Hive, metadata king HCatalog (Hortonworks stands alone in offering that) and Zookeeper to keep the whole thing ticking over smoothly. There’s also the standard HDFS and MapReduce duo within the architecture too, as expected.

    As is company policy, Hortonworks will contribute code from its HA solution back in the Hadoop project itself. The flexibility offered here is sure to entice many to the distro, as long as it gets the right marketing – Data Platform can adapt to the upcoming Hadoop 2.0 release when it arrives.

    Now that there’s five stacks at the table, all with merit, (Cloudera, EMC Greenplum, Hortonworks, IBM and MapR), the Hadoop choice just became a little bit harder for enterprises. But if you’re looking for no tie-ins, seamless integration and pure tried and tested Hadoop 1.0, Hortonworks Data Platform might just be the one for you.

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    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]

    References : : :

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